Jobs

Scholarships

Courses

Companies

Placements

Community

Home >

Jobs >

Data Solutions Director

United States (Hybrid)

Data Solutions Director

2 Weeks ago • 5 Years + • Artificial Intelligence

About the job

15 skills required for this role

Test your skills to join the top 1% applicants for this job

azure

aws

cross-functional

tensorflow

algorithms

spark

deep-learning

python

pytorch

sql

hadoop

data-analytics

communication

team-player

forecasting-budgeting

Job Description

Rackspace seeks a highly accomplished Director of Solutions to lead the design and sales of cutting-edge AI and Data Engineering solutions. This role requires a 50/50 split between solution design (leading architecture, acting as Product Owner, developing documentation, and staying updated on advancements) and enterprise account ownership (presales, relationship building, proposal development, and sales collaboration). Candidates need deep AI/ML or Data Engineering experience, at least 5 years in a senior-level data scientist or architect role, proficiency in Python, PySpark, SQL, and experience with cloud-native tools on AWS, Azure, or GCP. The ideal candidate will have exceptional communication, problem-solving, and leadership skills, and a proven track record of success in demanding environments.

Must have:

5+ years senior-level data scientist/architect experience
Proficiency in Python, PySpark, SQL
Cloud-native tool experience (AWS, Azure, GCP)
AI/ML or Data Engineering expertise
Excellent communication & leadership skills

Good to have:

Experience with deep learning libraries
Spark/Hadoop experience
Cross-functional experience (AI/ML and Data Engineering)

Rackspace is seeking a highly accomplished Director of Solutions to lead the design and sales of cutting-edge AI and Data Engineering solutions. This pivotal role blends technical leadership with presales expertise, requiring a deep understanding of either AI/ML or Data Engineering, with cross-functional experience highly beneficial. The position is a 50/50 split between solution design and enterprise account ownership.

Key Responsibilities:

Solution Design & Product Ownership (50%):
Lead the design and architecture of innovative AI and Data Engineering solutions for Rackspace’s enterprise customers, leveraging cloud-native tools on AWS, Azure, or GCP. This includes defining roadmap, features, and functionalities as well as demo flows.
Act as the Product Owner for these solutions, guiding development teams (while not directly coding) to ensure alignment with business objectives and market needs. This involves managing backlogs, prioritizing features, and ensuring timely delivery.
Develop solution documentation to support selling and positioning, including high-level designs, architecture diagrams, and solution briefs.
Stay abreast of the latest advancements in AI/ML and Data Engineering, identifying opportunities to enhance Rackspace’s solution offerings.
Contribute to the development of Rackspace intellectual property, such as white papers and presentations.
Presales & Enterprise Account Management (50%):
Serve as the presales lead for named enterprise accounts, positioning and selling the designed AI and Data Engineering solutions.
Build and maintain strong relationships with key stakeholders across various customer teams (Business Owners, Business Analytics, Data Engineering, Application Development, End Users, and Management).
Conduct consultative engagements to understand customer business challenges and map them to appropriate Rackspace solutions.
Develop compelling proposals, Statements of Work (SOWs), business cases, and RFP responses.
Collaborate with the sales team to develop account prioritization and support strategies that foster long-term relationships.
Participate in sales planning and forecasting activities.

Qualifications:

Deep experience in either AI/ML or Data Engineering (cross-functional experience highly preferred).
At least 5 years of experience as a senior-level data scientist or data architect, with demonstrable success delivering 5+ full-scale data projects utilizing cloud-native tooling on AWS, Azure, or GCP.
Proficiency in relevant programming languages such as Python, PySpark, and SQL. Experience with deep learning libraries (TensorFlow/PyTorch), Spark/Hadoop is useful.
Strong understanding of statistical modeling, machine learning algorithms, and NLP/NLU techniques.
Proven ability to communicate complex technical concepts to both technical and non-technical audiences.
Excellent presentation, whiteboarding, and problem-solving skills.
Demonstrated success in managing ambiguity, collaborating across departments, and exceeding expectations in fast-paced environments.
Strong knowledge of technology and industry trends impacting enterprise data analytics decisions.
Proven track record of success working through technical challenges within enterprise organizations.

Other Requirements:
Highly motivated self-starter and team player with demonstrated leadership abilities.
Exceptional time management and prioritization skills.
This is a highly visible role requiring a strategic thinker with strong technical skills and exceptional communication abilities. The successful candidate will play a critical role in shaping Rackspace’s future in the Analytics & AI space.